Dataset statistics
| Number of variables | 17 |
|---|---|
| Number of observations | 214 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 28.5 KiB |
| Average record size in memory | 136.6 B |
Variable types
| DateTime | 1 |
|---|---|
| Categorical | 4 |
| Numeric | 12 |
HighTemp is highly overall correlated with LowTemp and 2 other fields | High correlation |
LowTemp is highly overall correlated with HighTemp | High correlation |
Precipitation is highly overall correlated with is_precipitation | High correlation |
Brooklyn Bridge is highly overall correlated with HighTemp and 5 other fields | High correlation |
Manhattan Bridge is highly overall correlated with Brooklyn Bridge and 3 other fields | High correlation |
Williamsburg Bridge is highly overall correlated with Brooklyn Bridge and 5 other fields | High correlation |
Queensboro Bridge is highly overall correlated with HighTemp and 5 other fields | High correlation |
Total is highly overall correlated with Brooklyn Bridge and 5 other fields | High correlation |
Month is highly overall correlated with Month_nr and 1 other fields | High correlation |
Day_nr is highly overall correlated with Day and 1 other fields | High correlation |
Month_nr is highly overall correlated with Month and 1 other fields | High correlation |
Day is highly overall correlated with Day_nr and 1 other fields | High correlation |
is_weekend is highly overall correlated with Williamsburg Bridge and 4 other fields | High correlation |
is_precipitation is highly overall correlated with Precipitation and 3 other fields | High correlation |
is_rainy_month is highly overall correlated with Month and 1 other fields | High correlation |
Day is uniformly distributed | Uniform |
Date has unique values | Unique |
Precipitation has 146 (68.2%) zeros | Zeros |
Reproduction
| Analysis started | 2023-01-11 16:09:01.186321 |
|---|---|
| Analysis finished | 2023-01-11 16:09:28.333310 |
| Duration | 27.15 seconds |
| Software version | pandas-profiling vdev |
| Download configuration | config.json |
Date
Date
| Distinct | 214 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| Minimum | 2016-04-01 00:00:00 |
|---|---|
| Maximum | 2016-10-31 00:00:00 |
Histogram with fixed size bins (bins=50)
Day
Categorical
HIGH CORRELATION UNIFORM
| Distinct | 7 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| Friday | |
|---|---|
| Saturday | |
| Sunday | |
| Monday | |
| Tuesday | |
| Other values (2) |
Length
| Max length | 9 |
|---|---|
| Median length | 8 |
| Mean length | 7.1308411 |
| Min length | 6 |
Characters and Unicode
| Total characters | 1526 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Friday |
|---|---|
| 2nd row | Saturday |
| 3rd row | Sunday |
| 4th row | Monday |
| 5th row | Tuesday |
Common Values
| Value | Count | Frequency (%) |
| Friday | 31 | |
| Saturday | 31 | |
| Sunday | 31 | |
| Monday | 31 | |
| Tuesday | 30 | |
| Wednesday | 30 | |
| Thursday | 30 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| friday | 31 | |
| saturday | 31 | |
| sunday | 31 | |
| monday | 31 | |
| tuesday | 30 | |
| wednesday | 30 | |
| thursday | 30 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 245 | |
| d | 244 | |
| y | 214 | |
| u | 122 | |
| r | 92 | 6.0% |
| n | 92 | 6.0% |
| s | 90 | 5.9% |
| e | 90 | 5.9% |
| S | 62 | 4.1% |
| T | 60 | 3.9% |
| Other values (7) | 215 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1312 | |
| Uppercase Letter | 214 | 14.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 245 | |
| d | 244 | |
| y | 214 | |
| u | 122 | |
| r | 92 | 7.0% |
| n | 92 | 7.0% |
| s | 90 | 6.9% |
| e | 90 | 6.9% |
| o | 31 | 2.4% |
| t | 31 | 2.4% |
| Other values (2) | 61 | 4.6% |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 62 | |
| T | 60 | |
| F | 31 | |
| M | 31 | |
| W | 30 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1526 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 245 | |
| d | 244 | |
| y | 214 | |
| u | 122 | |
| r | 92 | 6.0% |
| n | 92 | 6.0% |
| s | 90 | 5.9% |
| e | 90 | 5.9% |
| S | 62 | 4.1% |
| T | 60 | 3.9% |
| Other values (7) | 215 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1526 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 245 | |
| d | 244 | |
| y | 214 | |
| u | 122 | |
| r | 92 | 6.0% |
| n | 92 | 6.0% |
| s | 90 | 5.9% |
| e | 90 | 5.9% |
| S | 62 | 4.1% |
| T | 60 | 3.9% |
| Other values (7) | 215 |
HighTemp
Real number (ℝ)
| Distinct | 59 |
|---|---|
| Distinct (%) | 27.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 74.933645 |
| Minimum | 39.9 |
|---|---|
| Maximum | 96.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 39.9 |
|---|---|
| 5-th percentile | 50.715 |
| Q1 | 66.05 |
| median | 78.1 |
| Q3 | 84.9 |
| 95-th percentile | 91 |
| Maximum | 96.1 |
| Range | 56.2 |
| Interquartile range (IQR) | 18.85 |
Descriptive statistics
| Standard deviation | 12.545418 |
|---|---|
| Coefficient of variation (CV) | 0.16742036 |
| Kurtosis | -0.28960058 |
| Mean | 74.933645 |
| Median Absolute Deviation (MAD) | 8.1 |
| Skewness | -0.64989256 |
| Sum | 16035.8 |
| Variance | 157.3875 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 86 | 12 | 5.6% |
| 82.9 | 12 | 5.6% |
| 82 | 9 | 4.2% |
| 84 | 8 | 3.7% |
| 87.1 | 8 | 3.7% |
| 78.1 | 7 | 3.3% |
| 71.1 | 7 | 3.3% |
| 79 | 6 | 2.8% |
| 73.9 | 6 | 2.8% |
| 68 | 6 | 2.8% |
| Other values (49) | 133 |
| Value | Count | Frequency (%) |
| 39.9 | 1 | 0.5% |
| 42.1 | 1 | 0.5% |
| 43 | 1 | 0.5% |
| 44.1 | 1 | 0.5% |
| 45 | 1 | 0.5% |
| 46.9 | 2 | |
| 48.9 | 1 | 0.5% |
| 50 | 3 | |
| 51.1 | 2 | |
| 53.1 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 96.1 | 2 | 0.9% |
| 95 | 1 | 0.5% |
| 93.9 | 2 | 0.9% |
| 93 | 3 | |
| 91.9 | 1 | 0.5% |
| 91 | 3 | |
| 90 | 6 | |
| 89.6 | 1 | 0.5% |
| 89.1 | 5 | |
| 88 | 5 |
LowTemp
Real number (ℝ)
| Distinct | 56 |
|---|---|
| Distinct (%) | 26.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 61.97243 |
| Minimum | 26.1 |
|---|---|
| Maximum | 82 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 26.1 |
|---|---|
| 5-th percentile | 44.065 |
| Q1 | 53.225 |
| median | 64.9 |
| Q3 | 71.1 |
| 95-th percentile | 77 |
| Maximum | 82 |
| Range | 55.9 |
| Interquartile range (IQR) | 17.875 |
Descriptive statistics
| Standard deviation | 11.670566 |
|---|---|
| Coefficient of variation (CV) | 0.18831867 |
| Kurtosis | -0.31255019 |
| Mean | 61.97243 |
| Median Absolute Deviation (MAD) | 7.9 |
| Skewness | -0.60877805 |
| Sum | 13262.1 |
| Variance | 136.2021 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 69.1 | 13 | 6.1% |
| 72 | 10 | 4.7% |
| 75 | 9 | 4.2% |
| 66.9 | 9 | 4.2% |
| 68 | 8 | 3.7% |
| 66 | 8 | 3.7% |
| 70 | 8 | 3.7% |
| 77 | 8 | 3.7% |
| 71.1 | 7 | 3.3% |
| 46.9 | 7 | 3.3% |
| Other values (46) | 127 |
| Value | Count | Frequency (%) |
| 26.1 | 1 | |
| 30 | 1 | |
| 30.9 | 1 | |
| 33.1 | 1 | |
| 34 | 1 | |
| 37.9 | 2 | |
| 39 | 1 | |
| 39.9 | 1 | |
| 41 | 1 | |
| 44 | 1 |
| Value | Count | Frequency (%) |
| 82 | 1 | 0.5% |
| 81 | 2 | 0.9% |
| 80.1 | 2 | 0.9% |
| 78.1 | 4 | |
| 77 | 8 | |
| 75.9 | 2 | 0.9% |
| 75.2 | 1 | 0.5% |
| 75 | 9 | |
| 73.9 | 4 | |
| 73 | 6 |
Precipitation
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 44 |
|---|---|
| Distinct (%) | 20.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.10906542 |
| Minimum | 0 |
|---|---|
| Maximum | 1.65 |
| Zeros | 146 |
| Zeros (%) | 68.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0.0475 |
| 95-th percentile | 0.634 |
| Maximum | 1.65 |
| Range | 1.65 |
| Interquartile range (IQR) | 0.0475 |
Descriptive statistics
| Standard deviation | 0.25995858 |
|---|---|
| Coefficient of variation (CV) | 2.3835106 |
| Kurtosis | 11.247875 |
| Mean | 0.10906542 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.1826464 |
| Sum | 23.34 |
| Variance | 0.067578465 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=44)
| Value | Count | Frequency (%) |
| 0 | 146 | |
| 0.01 | 8 | 3.7% |
| 0.09 | 5 | 2.3% |
| 0.04 | 4 | 1.9% |
| 0.16 | 3 | 1.4% |
| 0.22 | 3 | 1.4% |
| 0.2 | 2 | 0.9% |
| 0.05 | 2 | 0.9% |
| 0.45 | 2 | 0.9% |
| 0.15 | 2 | 0.9% |
| Other values (34) | 37 | 17.3% |
| Value | Count | Frequency (%) |
| 0 | 146 | |
| 0.01 | 8 | 3.7% |
| 0.02 | 1 | 0.5% |
| 0.03 | 1 | 0.5% |
| 0.04 | 4 | 1.9% |
| 0.05 | 2 | 0.9% |
| 0.06 | 1 | 0.5% |
| 0.08 | 1 | 0.5% |
| 0.09 | 5 | 2.3% |
| 0.11 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 1.65 | 1 | |
| 1.41 | 1 | |
| 1.11 | 1 | |
| 1.09 | 1 | |
| 1.08 | 1 | |
| 1 | 1 | |
| 0.91 | 1 | |
| 0.83 | 1 | |
| 0.82 | 1 | |
| 0.68 | 1 |
Brooklyn Bridge
Real number (ℝ)
| Distinct | 206 |
|---|---|
| Distinct (%) | 96.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3030.7009 |
| Minimum | 504 |
|---|---|
| Maximum | 8264 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 504 |
|---|---|
| 5-th percentile | 1054.1 |
| Q1 | 2387.75 |
| median | 3076.5 |
| Q3 | 3685.25 |
| 95-th percentile | 4635.5 |
| Maximum | 8264 |
| Range | 7760 |
| Interquartile range (IQR) | 1297.5 |
Descriptive statistics
| Standard deviation | 1134.0448 |
|---|---|
| Coefficient of variation (CV) | 0.37418566 |
| Kurtosis | 2.0064404 |
| Mean | 3030.7009 |
| Median Absolute Deviation (MAD) | 627.5 |
| Skewness | 0.3463898 |
| Sum | 648570 |
| Variance | 1286057.7 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3966 | 2 | 0.9% |
| 4057 | 2 | 0.9% |
| 3079 | 2 | 0.9% |
| 3026 | 2 | 0.9% |
| 3580 | 2 | 0.9% |
| 3663 | 2 | 0.9% |
| 4029 | 2 | 0.9% |
| 1916 | 2 | 0.9% |
| 4304 | 1 | 0.5% |
| 1888 | 1 | 0.5% |
| Other values (196) | 196 |
| Value | Count | Frequency (%) |
| 504 | 1 | |
| 521 | 1 | |
| 526 | 1 | |
| 544 | 1 | |
| 621 | 1 | |
| 651 | 1 | |
| 652 | 1 | |
| 756 | 1 | |
| 827 | 1 | |
| 918 | 1 |
| Value | Count | Frequency (%) |
| 8264 | 1 | |
| 6834 | 1 | |
| 5885 | 1 | |
| 5464 | 1 | |
| 5354 | 1 | |
| 5293 | 1 | |
| 5152 | 1 | |
| 5136 | 1 | |
| 4804 | 1 | |
| 4753 | 1 |
Manhattan Bridge
Real number (ℝ)
| Distinct | 211 |
|---|---|
| Distinct (%) | 98.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5052.2336 |
| Minimum | 997 |
|---|---|
| Maximum | 9152 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 997 |
|---|---|
| 5-th percentile | 1802.65 |
| Q1 | 3713.25 |
| median | 5132 |
| Q3 | 6609.5 |
| 95-th percentile | 7463.8 |
| Maximum | 9152 |
| Range | 8155 |
| Interquartile range (IQR) | 2896.25 |
Descriptive statistics
| Standard deviation | 1745.4854 |
|---|---|
| Coefficient of variation (CV) | 0.34548786 |
| Kurtosis | -0.68999626 |
| Mean | 5052.2336 |
| Median Absolute Deviation (MAD) | 1458 |
| Skewness | -0.32164137 |
| Sum | 1081178 |
| Variance | 3046719.3 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5942 | 2 | 0.9% |
| 3157 | 2 | 0.9% |
| 2971 | 2 | 0.9% |
| 3126 | 1 | 0.5% |
| 2959 | 1 | 0.5% |
| 7339 | 1 | 0.5% |
| 5326 | 1 | 0.5% |
| 5658 | 1 | 0.5% |
| 4700 | 1 | 0.5% |
| 7005 | 1 | 0.5% |
| Other values (201) | 201 |
| Value | Count | Frequency (%) |
| 997 | 1 | |
| 1067 | 1 | |
| 1173 | 1 | |
| 1232 | 1 | |
| 1254 | 1 | |
| 1453 | 1 | |
| 1525 | 1 | |
| 1542 | 1 | |
| 1558 | 1 | |
| 1593 | 1 |
| Value | Count | Frequency (%) |
| 9152 | 1 | |
| 7869 | 1 | |
| 7751 | 1 | |
| 7745 | 1 | |
| 7598 | 1 | |
| 7594 | 1 | |
| 7565 | 1 | |
| 7559 | 1 | |
| 7542 | 1 | |
| 7532 | 1 |
Williamsburg Bridge
Real number (ℝ)
| Distinct | 211 |
|---|---|
| Distinct (%) | 98.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6160.8738 |
| Minimum | 1440 |
|---|---|
| Maximum | 9148 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 1440 |
|---|---|
| 5-th percentile | 2596.85 |
| Q1 | 4884.5 |
| median | 6334.5 |
| Q3 | 7858 |
| 95-th percentile | 8762.05 |
| Maximum | 9148 |
| Range | 7708 |
| Interquartile range (IQR) | 2973.5 |
Descriptive statistics
| Standard deviation | 1910.6431 |
|---|---|
| Coefficient of variation (CV) | 0.31012534 |
| Kurtosis | -0.68756698 |
| Mean | 6160.8738 |
| Median Absolute Deviation (MAD) | 1474.5 |
| Skewness | -0.42623301 |
| Sum | 1318427 |
| Variance | 3650557.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8231 | 2 | 0.9% |
| 5649 | 2 | 0.9% |
| 7913 | 2 | 0.9% |
| 4115 | 1 | 0.5% |
| 7610 | 1 | 0.5% |
| 7411 | 1 | 0.5% |
| 6867 | 1 | 0.5% |
| 5402 | 1 | 0.5% |
| 3920 | 1 | 0.5% |
| 7866 | 1 | 0.5% |
| Other values (201) | 201 |
| Value | Count | Frequency (%) |
| 1440 | 1 | |
| 1507 | 1 | |
| 1695 | 1 | |
| 2045 | 1 | |
| 2062 | 1 | |
| 2108 | 1 | |
| 2122 | 1 | |
| 2137 | 1 | |
| 2422 | 1 | |
| 2473 | 1 |
| Value | Count | Frequency (%) |
| 9148 | 1 | |
| 9037 | 1 | |
| 9028 | 1 | |
| 9008 | 1 | |
| 8972 | 1 | |
| 8959 | 1 | |
| 8942 | 1 | |
| 8897 | 1 | |
| 8788 | 1 | |
| 8766 | 1 |
Queensboro Bridge
Real number (ℝ)
| Distinct | 207 |
|---|---|
| Distinct (%) | 96.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4300.7243 |
| Minimum | 1306 |
|---|---|
| Maximum | 6392 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 1306 |
|---|---|
| 5-th percentile | 1904.6 |
| Q1 | 3495.75 |
| median | 4342.5 |
| Q3 | 5308.5 |
| 95-th percentile | 6102.9 |
| Maximum | 6392 |
| Range | 5086 |
| Interquartile range (IQR) | 1812.75 |
Descriptive statistics
| Standard deviation | 1260.9857 |
|---|---|
| Coefficient of variation (CV) | 0.29320311 |
| Kurtosis | -0.59795123 |
| Mean | 4300.7243 |
| Median Absolute Deviation (MAD) | 923.5 |
| Skewness | -0.39039879 |
| Sum | 920355 |
| Variance | 1590085 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5880 | 2 | 0.9% |
| 5066 | 2 | 0.9% |
| 6295 | 2 | 0.9% |
| 4813 | 2 | 0.9% |
| 5927 | 2 | 0.9% |
| 5606 | 2 | 0.9% |
| 3763 | 2 | 0.9% |
| 2552 | 1 | 0.5% |
| 3048 | 1 | 0.5% |
| 3721 | 1 | 0.5% |
| Other values (197) | 197 |
| Value | Count | Frequency (%) |
| 1306 | 1 | |
| 1307 | 1 | |
| 1408 | 1 | |
| 1439 | 1 | |
| 1502 | 1 | |
| 1517 | 1 | |
| 1612 | 1 | |
| 1741 | 1 | |
| 1805 | 1 | |
| 1884 | 1 |
| Value | Count | Frequency (%) |
| 6392 | 1 | |
| 6382 | 1 | |
| 6315 | 1 | |
| 6295 | 2 | |
| 6261 | 1 | |
| 6246 | 1 | |
| 6223 | 1 | |
| 6217 | 1 | |
| 6204 | 1 | |
| 6112 | 1 |
Total
Real number (ℝ)
| Distinct | 211 |
|---|---|
| Distinct (%) | 98.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18544.533 |
| Minimum | 4335 |
|---|---|
| Maximum | 28437 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 4335 |
|---|---|
| 5-th percentile | 7548.85 |
| Q1 | 14825.75 |
| median | 19001.5 |
| Q3 | 23253.5 |
| 95-th percentile | 26299.75 |
| Maximum | 28437 |
| Range | 24102 |
| Interquartile range (IQR) | 8427.75 |
Descriptive statistics
| Standard deviation | 5702.0838 |
|---|---|
| Coefficient of variation (CV) | 0.30748059 |
| Kurtosis | -0.45990309 |
| Mean | 18544.533 |
| Median Absolute Deviation (MAD) | 4262.5 |
| Skewness | -0.52314417 |
| Sum | 3968530 |
| Variance | 32513759 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 20850 | 2 | 0.9% |
| 11562 | 2 | 0.9% |
| 18315 | 2 | 0.9% |
| 11497 | 1 | 0.5% |
| 19800 | 1 | 0.5% |
| 20105 | 1 | 0.5% |
| 22437 | 1 | 0.5% |
| 21735 | 1 | 0.5% |
| 19892 | 1 | 0.5% |
| 21194 | 1 | 0.5% |
| Other values (201) | 201 |
| Value | Count | Frequency (%) |
| 4335 | 1 | |
| 4510 | 1 | |
| 4759 | 1 | |
| 5278 | 1 | |
| 5423 | 1 | |
| 5839 | 1 | |
| 6248 | 1 | |
| 6626 | 1 | |
| 6789 | 1 | |
| 6922 | 1 |
| Value | Count | Frequency (%) |
| 28437 | 1 | |
| 28222 | 1 | |
| 27579 | 1 | |
| 26978 | 1 | |
| 26950 | 1 | |
| 26588 | 1 | |
| 26553 | 1 | |
| 26542 | 1 | |
| 26402 | 1 | |
| 26391 | 1 |
NumDay
Real number (ℝ)
| Distinct | 31 |
|---|---|
| Distinct (%) | 14.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.78972 |
| Minimum | 1 |
|---|---|
| Maximum | 31 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 8 |
| median | 16 |
| Q3 | 23 |
| 95-th percentile | 29.35 |
| Maximum | 31 |
| Range | 30 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 8.8481019 |
|---|---|
| Coefficient of variation (CV) | 0.56037106 |
| Kurtosis | -1.1987916 |
| Mean | 15.78972 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.0027133487 |
| Sum | 3379 |
| Variance | 78.288908 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=31)
| Value | Count | Frequency (%) |
| 1 | 7 | 3.3% |
| 17 | 7 | 3.3% |
| 30 | 7 | 3.3% |
| 29 | 7 | 3.3% |
| 28 | 7 | 3.3% |
| 27 | 7 | 3.3% |
| 26 | 7 | 3.3% |
| 25 | 7 | 3.3% |
| 24 | 7 | 3.3% |
| 23 | 7 | 3.3% |
| Other values (21) | 144 |
| Value | Count | Frequency (%) |
| 1 | 7 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 7 |
| Value | Count | Frequency (%) |
| 31 | 4 | |
| 30 | 7 | |
| 29 | 7 | |
| 28 | 7 | |
| 27 | 7 | |
| 26 | 7 | |
| 25 | 7 | |
| 24 | 7 | |
| 23 | 7 | |
| 22 | 7 |
Month
Real number (ℝ)
| Distinct | 7 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.0093458 |
| Minimum | 4 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 4 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 5 |
| median | 7 |
| Q3 | 9 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.0023241 |
|---|---|
| Coefficient of variation (CV) | 0.28566491 |
| Kurtosis | -1.2469503 |
| Mean | 7.0093458 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.0023280128 |
| Sum | 1500 |
| Variance | 4.0093019 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 5 | 31 | |
| 7 | 31 | |
| 8 | 31 | |
| 10 | 31 | |
| 4 | 30 | |
| 6 | 30 | |
| 9 | 30 |
| Value | Count | Frequency (%) |
| 4 | 30 | |
| 5 | 31 | |
| 6 | 30 | |
| 7 | 31 | |
| 8 | 31 | |
| 9 | 30 | |
| 10 | 31 |
| Value | Count | Frequency (%) |
| 10 | 31 | |
| 9 | 30 | |
| 8 | 31 | |
| 7 | 31 | |
| 6 | 30 | |
| 5 | 31 | |
| 4 | 30 |
Day_nr
Real number (ℝ)
| Distinct | 7 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.0140187 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.0128203 |
|---|---|
| Coefficient of variation (CV) | 0.50144768 |
| Kurtosis | -1.2600469 |
| Mean | 4.0140187 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.015861269 |
| Sum | 859 |
| Variance | 4.0514457 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 5 | 31 | |
| 6 | 31 | |
| 7 | 31 | |
| 1 | 31 | |
| 2 | 30 | |
| 3 | 30 | |
| 4 | 30 |
| Value | Count | Frequency (%) |
| 1 | 31 | |
| 2 | 30 | |
| 3 | 30 | |
| 4 | 30 | |
| 5 | 31 | |
| 6 | 31 | |
| 7 | 31 |
| Value | Count | Frequency (%) |
| 7 | 31 | |
| 6 | 31 | |
| 5 | 31 | |
| 4 | 30 | |
| 3 | 30 | |
| 2 | 30 | |
| 1 | 31 |
Month_nr
Real number (ℝ)
| Distinct | 7 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.0093458 |
| Minimum | 4 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.8 KiB |
Quantile statistics
| Minimum | 4 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 5 |
| median | 7 |
| Q3 | 9 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.0023241 |
|---|---|
| Coefficient of variation (CV) | 0.28566491 |
| Kurtosis | -1.2469503 |
| Mean | 7.0093458 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -0.0023280128 |
| Sum | 1500 |
| Variance | 4.0093019 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 5 | 31 | |
| 7 | 31 | |
| 8 | 31 | |
| 10 | 31 | |
| 4 | 30 | |
| 6 | 30 | |
| 9 | 30 |
| Value | Count | Frequency (%) |
| 4 | 30 | |
| 5 | 31 | |
| 6 | 30 | |
| 7 | 31 | |
| 8 | 31 | |
| 9 | 30 | |
| 10 | 31 |
| Value | Count | Frequency (%) |
| 10 | 31 | |
| 9 | 30 | |
| 8 | 31 | |
| 7 | 31 | |
| 6 | 30 | |
| 5 | 31 | |
| 4 | 30 |
is_weekend
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 214 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 152 | |
| 1 | 62 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 152 | |
| 1 | 62 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 152 | |
| 1 | 62 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 214 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 152 | |
| 1 | 62 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 214 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 152 | |
| 1 | 62 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 214 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 152 | |
| 1 | 62 |
is_precipitation
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 214 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 146 | |
| 1 | 68 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 146 | |
| 1 | 68 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 146 | |
| 1 | 68 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 214 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 146 | |
| 1 | 68 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 214 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 146 | |
| 1 | 68 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 214 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 146 | |
| 1 | 68 |
is_rainy_month
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 214 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 121 | |
| 1 | 93 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 121 | |
| 1 | 93 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 121 | |
| 1 | 93 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 214 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 121 | |
| 1 | 93 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 214 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 121 | |
| 1 | 93 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 214 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 121 | |
| 1 | 93 |
| HighTemp | LowTemp | Precipitation | Brooklyn Bridge | Manhattan Bridge | Williamsburg Bridge | Queensboro Bridge | Total | NumDay | Month | Day_nr | Month_nr | Day | is_weekend | is_precipitation | is_rainy_month | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HighTemp | 1.000 | 0.908 | -0.103 | 0.547 | 0.366 | 0.425 | 0.548 | 0.473 | 0.177 | 0.167 | -0.009 | 0.167 | 0.000 | 0.000 | 0.172 | 0.233 |
| LowTemp | 0.908 | 1.000 | 0.015 | 0.421 | 0.254 | 0.304 | 0.447 | 0.360 | 0.105 | 0.240 | 0.010 | 0.240 | 0.000 | 0.000 | 0.000 | 0.252 |
| Precipitation | -0.103 | 0.015 | 1.000 | -0.471 | -0.483 | -0.492 | -0.448 | -0.481 | -0.037 | -0.089 | 0.075 | -0.089 | 0.057 | 0.000 | 0.654 | 0.171 |
| Brooklyn Bridge | 0.547 | 0.421 | -0.471 | 1.000 | 0.787 | 0.845 | 0.858 | 0.910 | 0.072 | 0.047 | -0.310 | 0.047 | 0.110 | 0.308 | 0.517 | 0.124 |
| Manhattan Bridge | 0.366 | 0.254 | -0.483 | 0.787 | 1.000 | 0.853 | 0.804 | 0.920 | 0.047 | 0.128 | -0.403 | 0.128 | 0.167 | 0.437 | 0.450 | 0.167 |
| Williamsburg Bridge | 0.425 | 0.304 | -0.492 | 0.845 | 0.853 | 1.000 | 0.957 | 0.968 | 0.097 | 0.139 | -0.478 | 0.139 | 0.261 | 0.600 | 0.509 | 0.182 |
| Queensboro Bridge | 0.548 | 0.447 | -0.448 | 0.858 | 0.804 | 0.957 | 1.000 | 0.953 | 0.101 | 0.159 | -0.439 | 0.159 | 0.244 | 0.545 | 0.496 | 0.099 |
| Total | 0.473 | 0.360 | -0.481 | 0.910 | 0.920 | 0.968 | 0.953 | 1.000 | 0.069 | 0.123 | -0.448 | 0.123 | 0.224 | 0.516 | 0.526 | 0.228 |
| NumDay | 0.177 | 0.105 | -0.037 | 0.072 | 0.047 | 0.097 | 0.101 | 0.069 | 1.000 | 0.008 | -0.012 | 0.008 | 0.000 | 0.000 | 0.000 | 0.000 |
| Month | 0.167 | 0.240 | -0.089 | 0.047 | 0.128 | 0.139 | 0.159 | 0.123 | 0.008 | 1.000 | -0.002 | 1.000 | 0.000 | 0.000 | 0.012 | 0.988 |
| Day_nr | -0.009 | 0.010 | 0.075 | -0.310 | -0.403 | -0.478 | -0.439 | -0.448 | -0.012 | -0.002 | 1.000 | -0.002 | 1.000 | 0.988 | 0.094 | 0.000 |
| Month_nr | 0.167 | 0.240 | -0.089 | 0.047 | 0.128 | 0.139 | 0.159 | 0.123 | 0.008 | 1.000 | -0.002 | 1.000 | 0.000 | 0.000 | 0.012 | 0.988 |
| Day | 0.000 | 0.000 | 0.057 | 0.110 | 0.167 | 0.261 | 0.244 | 0.224 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.988 | 0.094 | 0.000 |
| is_weekend | 0.000 | 0.000 | 0.000 | 0.308 | 0.437 | 0.600 | 0.545 | 0.516 | 0.000 | 0.000 | 0.988 | 0.000 | 0.988 | 1.000 | 0.000 | 0.000 |
| is_precipitation | 0.172 | 0.000 | 0.654 | 0.517 | 0.450 | 0.509 | 0.496 | 0.526 | 0.000 | 0.012 | 0.094 | 0.012 | 0.094 | 0.000 | 1.000 | 0.000 |
| is_rainy_month | 0.233 | 0.252 | 0.171 | 0.124 | 0.167 | 0.182 | 0.099 | 0.228 | 0.000 | 0.988 | 0.000 | 0.988 | 0.000 | 0.000 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| Date | Day | HighTemp | LowTemp | Precipitation | Brooklyn Bridge | Manhattan Bridge | Williamsburg Bridge | Queensboro Bridge | Total | NumDay | Month | Day_nr | Month_nr | is_weekend | is_precipitation | is_rainy_month | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2016-04-01 | Friday | 78.1 | 66.0 | 0.01 | 1704.0 | 3126.0 | 4115.0 | 2552.0 | 11497.0 | 1.0 | 4 | 5.0 | 4.0 | 0 | 1 | 0 |
| 1 | 2016-04-02 | Saturday | 55.0 | 48.9 | 0.15 | 827.0 | 1646.0 | 2565.0 | 1884.0 | 6922.0 | 2.0 | 4 | 6.0 | 4.0 | 1 | 1 | 0 |
| 2 | 2016-04-03 | Sunday | 39.9 | 34.0 | 0.09 | 526.0 | 1232.0 | 1695.0 | 1306.0 | 4759.0 | 3.0 | 4 | 7.0 | 4.0 | 1 | 1 | 0 |
| 3 | 2016-04-04 | Monday | 44.1 | 33.1 | 0.47 | 521.0 | 1067.0 | 1440.0 | 1307.0 | 4335.0 | 4.0 | 4 | 1.0 | 4.0 | 0 | 1 | 0 |
| 4 | 2016-04-05 | Tuesday | 42.1 | 26.1 | 0.00 | 1416.0 | 2617.0 | 3081.0 | 2357.0 | 9471.0 | 5.0 | 4 | 2.0 | 4.0 | 0 | 0 | 0 |
| 5 | 2016-04-06 | Wednesday | 45.0 | 30.0 | 0.00 | 1885.0 | 3329.0 | 3856.0 | 2849.0 | 11919.0 | 6.0 | 4 | 3.0 | 4.0 | 0 | 0 | 0 |
| 6 | 2016-04-07 | Thursday | 57.0 | 53.1 | 0.09 | 1276.0 | 2581.0 | 3282.0 | 2457.0 | 9596.0 | 7.0 | 4 | 4.0 | 4.0 | 0 | 1 | 0 |
| 7 | 2016-04-08 | Friday | 46.9 | 44.1 | 0.01 | 1982.0 | 3455.0 | 4113.0 | 3194.0 | 12744.0 | 8.0 | 4 | 5.0 | 4.0 | 0 | 1 | 0 |
| 8 | 2016-04-09 | Saturday | 43.0 | 37.9 | 0.09 | 504.0 | 997.0 | 1507.0 | 1502.0 | 4510.0 | 9.0 | 4 | 6.0 | 4.0 | 1 | 1 | 0 |
| 9 | 2016-04-10 | Sunday | 48.9 | 30.9 | 0.00 | 1447.0 | 2387.0 | 3132.0 | 2160.0 | 9126.0 | 10.0 | 4 | 7.0 | 4.0 | 1 | 0 | 0 |
| Date | Day | HighTemp | LowTemp | Precipitation | Brooklyn Bridge | Manhattan Bridge | Williamsburg Bridge | Queensboro Bridge | Total | NumDay | Month | Day_nr | Month_nr | is_weekend | is_precipitation | is_rainy_month | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 204 | 2016-10-22 | Saturday | 50.0 | 46.9 | 0.29 | 544.0 | 1254.0 | 2108.0 | 1517.0 | 5423.0 | 22.0 | 10 | 6.0 | 10.0 | 1 | 1 | 1 |
| 205 | 2016-10-23 | Sunday | 61.0 | 46.0 | 0.00 | 1899.0 | 3271.0 | 4020.0 | 2707.0 | 11897.0 | 23.0 | 10 | 7.0 | 10.0 | 1 | 0 | 1 |
| 206 | 2016-10-24 | Monday | 61.0 | 51.1 | 0.00 | 3041.0 | 5470.0 | 6357.0 | 4030.0 | 18898.0 | 24.0 | 10 | 1.0 | 10.0 | 0 | 0 | 1 |
| 207 | 2016-10-25 | Tuesday | 51.1 | 46.0 | 0.00 | 2616.0 | 5224.0 | 5760.0 | 4054.0 | 17654.0 | 25.0 | 10 | 2.0 | 10.0 | 0 | 0 | 1 |
| 208 | 2016-10-26 | Wednesday | 50.0 | 37.9 | 0.00 | 2520.0 | 4909.0 | 5649.0 | 3870.0 | 16948.0 | 26.0 | 10 | 3.0 | 10.0 | 0 | 0 | 1 |
| 209 | 2016-10-27 | Thursday | 54.0 | 41.0 | 1.41 | 651.0 | 1558.0 | 2137.0 | 1902.0 | 6248.0 | 27.0 | 10 | 4.0 | 10.0 | 0 | 1 | 1 |
| 210 | 2016-10-28 | Friday | 46.9 | 44.1 | 0.00 | 2021.0 | 3872.0 | 4271.0 | 3202.0 | 13366.0 | 28.0 | 10 | 5.0 | 10.0 | 0 | 0 | 1 |
| 211 | 2016-10-29 | Saturday | 63.0 | 39.0 | 0.00 | 1639.0 | 3160.0 | 4027.0 | 2920.0 | 11746.0 | 29.0 | 10 | 6.0 | 10.0 | 1 | 0 | 1 |
| 212 | 2016-10-30 | Sunday | 75.0 | 57.9 | 0.56 | 1702.0 | 2971.0 | 3531.0 | 2547.0 | 10751.0 | 30.0 | 10 | 7.0 | 10.0 | 1 | 1 | 1 |
| 213 | 2016-10-31 | Monday | 54.0 | 44.0 | 0.00 | 2648.0 | 4876.0 | 5440.0 | 3720.0 | 16684.0 | 31.0 | 10 | 1.0 | 10.0 | 0 | 0 | 1 |